Climatiq Carbon Calculations MCP. Model carbon footprints for any activity.
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Climatiq Carbon Calculations lets you estimate carbon footprints for any activity by searching thousands of scientifically validated emission factors. You calculate CO2e emissions based on specific inputs like weight, volume, or energy usage across various industries and regions.
What your AI agents can do
Batch estimate emissions
Calculates up to 100 separate emission estimates in one API call, ideal for bulk analysis.
Estimate by classification
Computes emissions using standardized codes like ISIC or NACE instead of raw activity parameters.
Estimate emissions
Performs a single carbon calculation for a specific, defined industrial or transport activity.
Find specific scientific data points by sector, region, or year.
Determine the CO2e output for a defined activity using parameters like weight or volume.
Run up to 100 separate carbon calculations in a single request, speeding up large data analysis.
Calculate emissions using standardized industry classification codes (like ISIC or NACE).
Retrieve comprehensive lists of supported regions, sectors, units, and years.
Ask AI about this MCP
Supported MCP Clients
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Climatiq Carbon Calculations: 10 Tools Available
These tools allow you to define scope, search specialized emission factors, and calculate verifiable carbon output using industry standards.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Climatiq Carbon Calculations on Vinkius019d8426batch estimate emissions
Calculates up to 100 separate emission estimates in one API call, ideal for bulk analysis.
019d8426estimate by classification
Computes emissions using standardized codes like ISIC or NACE instead of raw activity parameters.
019d8426estimate emissions
Performs a single carbon calculation for a specific, defined industrial or transport activity.
019d8426list categories
Retrieves an exhaustive list of all available emission categories supported by the API.
019d8426list regions
Fetches a definitive list of every geographic region for which emission data exists.
019d8426list sectors
Provides a comprehensive rundown of all available industrial sectors for factor lookups.
019d8426list sources
Retrieves a list detailing the primary data sources used to calculate emission factors.
019d8426list units
Gets a full roster of acceptable units of measure for accurate calculation inputs.
019d8426list years
Lists every historical and current year for which emission factor data is available.
019d8426search emission factors
Searches the Climatiq database to find specific, validated emission factors based on criteria.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Climatiq Carbon Calculations, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Climatiq. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Calculating carbon impact used to feel like detective work.
Today, calculating a single company's footprint means jumping between internal databases, government reports, and specialized industry spreadsheets. You’re constantly cross-referencing data—is this year's factor the right one? Is this unit compatible with that region's code? It's tedious, manual work that requires multiple subject matter experts just to compile a single slide.
With this MCP, you hand off the detective work. Your agent accesses thousands of validated factors and handles the complex cross-referencing for you. You tell it what happened—say, 'We shipped 50 tons of goods from London last year'—and it spits out the accurate CO2e number immediately.
Getting Emission Data with `search_emission_factors`
Before, finding a factor for 'petrol engine size in Ohio' meant emailing three different departments and waiting days for someone to find the right spreadsheet cell. Now, your agent searches the entire Climatiq database using `search_emission_factors`. It finds the specific ID you need instantly.
The biggest difference is traceability. You don't just get a number; you get proof of where that number came from and why it’s accurate for your jurisdiction.
What you can do with this MCP connector
When you need to report environmental impact, you can't rely on simple calculators. This MCP gives your agent access to a massive database of scientific emission factors, allowing you to estimate carbon output for everything from vehicle travel distances to industrial processes. You can find factors by sector, region, or even specific year.
The system handles complex calculations, letting you run hundreds of estimates in one go and aligning them with standard codes like ISIC or NACE. If your company needs verifiable data for compliance reporting, the ability to track every single factor call through Vinkius AI Analytics ensures a full audit trail.
This means you know exactly which factors were used and how they shaped the final numbers, making it suitable for high-stakes sustainability reports.
019d8426-314a-73bd-ab8d-e2083e0b5522 
How Climatiq Carbon Calculations MCP Works
- 1 First, use the available list tools to define your scope—for example, checking which regions or sectors are covered.
- 2 Next, search for the exact emission factor needed by providing specific parameters (like energy type and source) to pinpoint the correct data point.
- 3 Finally, feed the gathered factors and activity parameters into an estimation tool to get the final CO2e calculation.
The bottom line is you move from vague environmental concerns to precise, auditable emission figures in a structured workflow.
Who Is Climatiq Carbon Calculations MCP For?
This MCP serves anyone responsible for quantifying their company's environmental footprint. It’s built for the Sustainability Manager who needs compliance-grade data or the Supply Chain Analyst tracking emissions across global logistics routes.
Runs reports that compare total carbon output across multiple business units and geographies.
Quantifies the environmental impact of raw materials, transportation modes, or third-party logistics providers.
Generates auditable documentation showing that emissions calculations adhere to industry standards and classification codes.
What Changes When You Connect
- Stop guessing numbers. Instead of manually cross-referencing spreadsheets, you can use
search_emission_factorsto pull scientifically validated factors directly into your agent's workflow. - Need to analyze huge datasets? The
batch_estimate_emissionstool lets you run up to 100 calculations at once. This drastically cuts down the time needed for comprehensive reporting. - Compliance is about detail. By using tools like
list_regionsandlist_sectors, your agent first confirms that the data points you need are available before starting any calculation, avoiding wasted cycles. - Don't get stuck on industry definitions. You can use
estimate_by_classificationto calculate emissions simply by referencing standard codes (ISIC, NACE), regardless of the raw activity details. - The system handles complex data governance automatically. When you connect via Vinkius, your keys pass through a zero-trust proxy; they're used only for the calculation and never stored on disk.
Real-World Use Cases
Supply chain audit of freight transport
The agent needs to know the CO2e from moving goods across three countries. The user calls list_regions first, then uses estimate_emissions repeatedly with specific fuel and weight data for each segment.
Annual corporate sustainability report
A team needs to calculate emissions for 50 different operational centers. They use batch_estimate_emissions to process all 50 sites in one go, ensuring the whole report is done quickly.
Determining impact of a new product line
A product owner needs to know if a new manufacturing process meets carbon goals. They use estimate_by_classification with the factory's sector code to get an instant, comparable baseline.
Historical impact modeling
Researching policy changes requires knowing how emissions changed over time. The user calls list_years and then uses search_emission_factors to pull the exact factors for a specific historical period.
The Tradeoffs
Using a single search query
Asking the agent, 'What is my carbon footprint?' without providing context.
→
Bad input. You must first scope it down. Start by calling list_sectors to narrow the industry focus, then use search_emission_factors for the specific data you need.
Relying on general knowledge
Assuming the agent knows the correct unit of measure (e.g., tons vs. kg) for a region.
→
Never assume units. Always run list_units first to confirm what the API accepts, then use that unit in your estimate_emissions call.
Mixing up calculation types
Trying to estimate emissions using a region code when you actually need an industry classification.
→
Check your required input. If the requirement is sector-based, use estimate_by_classification. If it's based on specific weight/distance, use estimate_emissions.
When It Fits, When It Doesn't
Use this MCP if your primary need is quantitative environmental accounting—you need to prove a number and know its source. This means you require calculations that adhere to established codes or scientific factors. If you just need general advice, like 'How can I be greener?' don't use this; it won't give you an answer. Also, if you only have one simple calculation, estimate_emissions works fine. But if you are building a repeatable compliance workflow that needs to check regions, sectors, and years, you must sequence calls: start with the list tools, move to search_emission_factors, and finish with the main estimation tools.
Common Questions About Climatiq Carbon Calculations MCP
How do I find the right data point using `search_emission_factors`? +
The agent searches by defining parameters like fuel source, activity type, and geography. This tool pulls specific factors from the database that match your criteria.
Can I calculate emissions for many activities at once using `batch_estimate_emissions`? +
Yes. This tool is designed to take an array of calculations, allowing you to estimate up to 100 different scenarios in a single API call.
What if I don't know the specific activity parameters? Can I still use `estimate_by_classification`? +
Absolutely. If you have an industry code (like ISIC), estimate_by_classification lets you calculate emissions based on that structure instead of raw inputs.
Do I need to call `list_regions` before estimating? +
It's smart practice. Calling list_regions first confirms the supported geographical areas, preventing errors when you try to run an estimation for a region that isn't in the database.
How is my data protected when I run a calculation using `estimate_emissions`? +
Your credentials pass through a zero-trust proxy and are never stored on disk. Vinkius manages this connection with 34+ security rules enforced per call, ensuring your keys remain secure in transit.
What units can I use when calculating emissions using `estimate_emissions`? +
You must first check the available measures by calling list_units. This tool provides a comprehensive list of all supported units, so you know exactly which metrics to include in your calculation parameters.
What should I do if my data set is larger than 100 entries when using `batch_estimate_emissions`? +
If your required calculations exceed the batch limit of 100, you simply need to split your input into multiple smaller JSON arrays. You can then run those requests sequentially until all your data points are processed.
How do I view the full range of available industry sectors for better context using `list_sectors`? +
Running list_sectors returns a complete taxonomy of all supported industry sectors. This helps you validate your inputs and ensures that any calculations run via estimate_by_classification are based on recognized standards.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.